ArticleThe journal of nutrition, health & aging2020
Establishment of a Risk Prediction Model for Mild Cognitive Impairment among Elderly Chinese.
Article in The journal of nutrition, health & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Prediction model developed on the basis of meta-analysis in the field of medicine: a systematic survey and methodological summaries.BMC medical research methodology · 2025Pooled it
- Predictive models of Alzheimer's disease dementia risk in older adults with mild cognitive impairment: a systematic review and critical appraisal.BMC geriatrics · 2024Pooled it
- A risk scoring system to predict the individual incidence of early-onset colorectal cancer.BMC cancer · 2022Pooled it
- A Machine Learning and Traditional Chinese Medicine Constitution-Based Prediction Model for Mild Cognitive Impairment in Community-Dwelling Older Adults.Neuropsychiatric disease and treatment · 2026Article
- Evaluating the Feasibility, Acceptability, and Utility of the Home Alone Intervention: A Mixed Methods Pilot Study.Journal of aging research · 2026Article
- Validation and Refinement of Scores to Predict Stroke Risk: Prospective Cohort Study.JMIR public health and surveillance · 2025Article
- Organic food consumption is positively associated with cognitive function among middle-aged and older adults: cross-sectional and longitudinal analyses.European journal of nutrition · 2024Article
- Prediction Model for Cognitive Impairment among Disabled Older Adults: A Development and Validation Study.Healthcare (Basel, Switzerland) · 2024Article
- Article
- Association between sleep quality and cognitive impairment in older adults hypertensive patients in China: a case-control study.Frontiers in public health · 2024Article
- Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people.Frontiers in aging neuroscience · 2022Article
- Wilson's disease: Food therapy out of trace elements.Frontiers in cell and developmental biology · 2022Review
- The Value of Handgrip Strength and Self-Rated Squat Ability in Predicting Mild Cognitive Impairment: Development and Validation of a Prediction Model.Inquiry : a journal of medical care organization, provision and financingArticle
- Development, Validation and Field Evaluation of the Singapore Longitudinal Ageing Study (SLAS) Risk Index for Prediction of Mild Cognitive Impairment and Dementia.The journal of prevention of Alzheimer's diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMild cognitive impairment (MCI) is a transitional stage of cognitive function between normal aging and dementia. Substantial variations in the prevalence of MCI in different countries have been studied including China. In this study, we established a prediction system to assess the risk of MCI among the elderly in China.
methodsThe Rothman-Keller model was conducted on the basis of the risk factors of MCI obtained by the combined results of a meta-analysis. The accuracy of the model was verified using actual population data.
resultsA total of 1826 subjects as a verification set were enrolled in this study in February 2019. There were statistically significant differences in the combined results of 10 risk factors including hypertension, diabetes, educational level, hyperlipidemia, smoking, physical exercise, living alone, stroke, drinking and heart disease (P<0.05). The area under the curve (AUC) of the actual data and the predictive results of this model was 0.859 (95%CI: 0.812-0.906, P<0.05), the sensitivity was 86.6% and the specificity was 76.5%.
conclusionsThis model performs an effective prediction that may be applied to the primary prevention for patients with MCI, helping to reduce the risk of MCI.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.